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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive the translation of this strong basic
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Postdoctoral Scholar to support the Center's mission to develop and exploit novel sensing technologies and the algorithms to analyze their signals for monitoring geohazards. Reporting to the Center Director and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
of a range of in situ samples during surface operations on Titan in the 2030s. For example, research proposals that consider the sources and processes that would generate and modify components on Titan
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. G. Application dates Opens: July 15, 2026 Closes: July 29, 2026. After July 29 (23h59 Lisbon time) 2026, applications will not be considered for evaluation. H. Application process Applications must
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required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process
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for Gravitational Wave Astronomy" (PI: David Keitel). Specifically, they will take part in one or several of the following research goals: New frontiers in discovering signals from spinning neutron stars. New
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
systems) — intermediate to advanced level Sensor signal processing and state estimation (pressure/deformation sensors, inverse-problem solving) — intermediate level, to be consolidated on the job Languages
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, - certificate of Croatian or other citizenship, - certificate of fluency in Croatian (for foreign citizens), - official transcript of records with the grade point average for the previous studies
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth